GEO Logo
   NCBI > GEO > Accession DisplayHelp Not logged in | LoginHelp
GEO help: Mouse over screen elements for information.
Series GSE62974 Query DataSets for GSE62974
Status Public on Jan 16, 2015
Title RNA sequencing (RNA-SEQ) of EPAS1 knockdown by siRNA in endothelial cells
Organisms Homo sapiens; Mus musculus
Experiment type Expression profiling by high throughput sequencing
Summary Purpose: By integrating DNA methylation and gene expression of COPD lung tissues, we identified EPAS1 as a key regulator whose downstream genes significantly overlapped with multiple genes sets associated with COPD disease severity. EPAS1 is distinct in comparison with other key regulators in terms of methylation profiles and downstream target genes. Genes predicted to be regulated by EPAS1 were enriched for biological processes including signaling, cell communications, and system developement. As EPAS1 downstream genes were significantly enriched for hypoxia responsive genes in endothelial cells, we tested EPAS1 function in human and mouse endothelial cells HUVEC and C166. EPAS1 knockdown by siRNA in endothelial cells impacted genes that significantly overlapped with EPAS1 downstream genes in lung tissue including hypoxia responsive genes.
Methods: The cell lines of HUVEC (Lonza, MD, USA) and C166 (American Type Culture Collection, VA, USA) were cultured in the appropriate media at 37°C with 5% CO2. The cells were transfected with EPAS1 siRNA and non-targeting negative control siRNA (Life Technologies, CA, USA) using Lipofectamine RNAiMAX as recommended transfection protocols by the manufacturer. After the treatments with 5nM Silencer® Select siRNA (s4700 for EPAS1, s65525 for Epas1; Life Technologies, USA) for 48 hours, the total RNA was purified with RNeasy Mini Kit (QIAGEN, Germany). The efficiencies of knocked down the EPAS1 expression were assessed by qPCR with 1.4% for HUVEC, 3.2% for C166. Approximately 250 ng of total RNA per sample were used for library construction by the TruSeq RNA Sample Prep Kit (Illumina) and sequenced using the Illumina HiSeq 2500 instrument with 100nt single read setting according to the manufacturer's instructions. Sequence reads were aligned to human genome assembly hg19 and mouse genome assembly mm10, respectively, using Tophat [96]. Total 23,228 human and 22,609 mouse genes were quantified using Cufflinks [96]. siRNA signatures were derived by comparing expression profiles of EPAS1 or Epas1 siRNAs with non-targeting siRNAs at paired t-test p-value cutoff 0.05 with resulting signature sizes of 2,796 and 3,730, and corresponding q-values [97] 0.11 and 0.07 for HUVEC and C166, respectively.
Results: When comparing endothelial cells treated with EPAS1 siRNAs and scrambled siRNAs, we identified an EPAS1 siRNA signature consisting of 2796 and 3730 genes in human and mouse endothelial cell lines, respectively, whose expression levels significantly changed (t-test p-value<0.05), including EPAS1 itself (p-value = 0.002 and 0.02) and the EPAS1 downstream target gene VEGFA (p-value = 0.03 and 0.01). The EPAS1 siRNA signatures derived from human and mouse cell lines were highly consistent, with 695 genes in common to both signatures (p-value = 7.2x10-65). Both signatures not only significantly overlapped with EPAS1 downstream genes (p-value = 7.3x10-7 and 1.5x10-12), but also with hypoxia response genes in endothelial cells (Fisher’s Exact Test p-value = 5.8x10-8 and 1.2x10-12 in the human and mouse signatures, respectively). Moreover, the EPAS1 siRNA signatures consistently overlapped genes associated with the COPD severity phenotypes. These results together validate that EPAS1 causally regulates the downstream target genes we predicted, and that these genes in turn affect COPD development and progression.
Overall design For each of human and mouse cell lines, 3 siRNA control cells, and 3 siRNA EPAS1 knockdown cells were used and analyzed. To identify EPAS1 signatures, paired t-test was performed between control siRNA and EPAS1 siRNA samples.
Contributor(s) Takikawa S, Yoo S, Powell C, Zhu J
Citation(s) 25569234
Submission date Nov 04, 2014
Last update date May 15, 2019
Contact name Seungyeul Yoo
Organization name Icahn School of Medicine at Mount Sinai
Department Genetics and Genomic Sciences
Lab Integrative Network Biology Group
Street address 1425 Madison Avenue
City New York
State/province NY
ZIP/Postal code 10029
Country USA
Platforms (2)
GPL16791 Illumina HiSeq 2500 (Homo sapiens)
GPL17021 Illumina HiSeq 2500 (Mus musculus)
Samples (12)
GSM1537564 Mouse siRNA control rep1
GSM1537565 Mouse siRNA control rep2
GSM1537566 Mouse siRNA control rep3
BioProject PRJNA266324
SRA SRP049514

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE62974_FPKM_C166.txt.gz 474.2 Kb (ftp)(http) TXT
GSE62974_FPKM_HUVEC.txt.gz 495.3 Kb (ftp)(http) TXT
SRA Run SelectorHelp
Raw data are available in SRA
Processed data are available on Series record

| NLM | NIH | GEO Help | Disclaimer | Accessibility |
NCBI Home NCBI Search NCBI SiteMap